Pinky Sitikhu
Data ScientistMachine Learning | Data Science
Morningstar
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning | Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Morningstar
Data Scientist
June 26, 2026 – Present
data-analysis-in-R
December 19, 2022 – December 19, 2022
data-analysis-in-R — GitHub repository
View Projectfetch-rewards-assignment
November 10, 2022 – November 22, 2022
fetch-rewards-assignment — GitHub repository
View Projectaspect-extraction
September 17, 2022 – November 19, 2022
aspect-extraction — GitHub repository
View Projecttime_series_experiments
February 22, 2022 – June 5, 2022
Experiments with time-series dataset
View Projectbutterfly_classification
July 13, 2020 – December 8, 2022
butterfly_classification — GitHub repository
View Projectcovid-19-visualization
March 22, 2020 – December 8, 2022
covid-19-visualization — GitHub repository
View ProjectSimilarity-Calculation
August 9, 2019 – August 12, 2019
Similarity-Calculation — GitHub repository
View Projectprediction_project
February 23, 2017 – February 25, 2017
A simple django web application used for prediction and analysis of stock market
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards data science and machine learning, which aligns well with a Data Scientist role. The diversity of projects (image classification, time series, NLP, web applications with data analysis) suggests a broad interest within the field. However, the 'experienceLevel' is 0, which contradicts the current 'Data Scientist' role at Morningstar, making it difficult to fully assess cultural fit based on experience depth. The lack of detailed descriptions for most projects limits understanding of their complexity and the candidate's specific contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.